基于数字水位模型的地下水降落漏斗提取  

A method for extraction of depression cone based on digital groundwater level models

作　　者：江丛刚[1] 潘云[2,3] 丁飞[4] 朱琳[2,3] 宫兆宁[2,3] 

机构地区：[1]中油四维工程勘察有限公司,廊坊065000 [2]首都师范大学三维信息获取与应用教育部重点实验室,北京100037 [3]首都师范大学资源环境与GIS北京市重点实验室,北京100037 [4]沈阳建筑大学市政与环境工程学院,沈阳110168

出　　处：《水文地质工程地质》2009年第2期25-28,33,共5页Hydrogeology & Engineering Geology

基　　金：973国家基础研究计划项目(2006CB708405);863国家高科技发展计划项目(2006AA12Z11);国家自然科学基金资助项目(40771170/D0120)

摘　　要：文章首先介绍了利用克立格插值方法建立地下水数字水位模型的原理,然后在此模型的基础上,按照地下水降落漏斗的基本定义,提出了一种自动化提取降落漏斗的算法。最后通过一个算例的实现,对比地下水等水位线,证明了根据该算法提取的结果较准确地反映了地下水降落漏斗的水文地质含义,科学、客观地表达了水位下降区的空间形态,是数字地下水建设的有益探索。In this paper, a digital groundwater level model is constructed using the Kriging method. An algorithm is developed to automatically extract depression cones of groundwater levels from the model based on the definition of a depression cone. A case study demonstrates the application of the new algorithm. The results show that the depression cone extracted using the method is a better representation of the real world. It is believed that the new algorithm is able to depict more accurately and objectively the depression cones of regional groundwater levels. Application of the model will benefit the advance of groundwater modeling.

关 键 词：地下水 降落漏斗 克立格 种子蔓延算法 

分 类 号：P641.2[天文地球—地质矿产勘探]